What is chat eDiscovery?

Chat eDiscovery is electronic discovery applied to instant-messaging and collaboration data rather than traditional email and documents. As workplace communication has shifted to platforms like Slack, Microsoft Teams, WhatsApp, and text messaging, this data has become a routine and often decisive part of discovery.

Chat data is harder to review than email because it does not behave like a document. The main differences include:

• Continuous conversation: messages flow in ongoing threads with no natural start or end, so they must be grouped into sensible reviewable units.

• Informal language: shorthand, emoji, reactions, edits, and deletions all carry meaning and need to be preserved and interpreted.

• Rich context: participants, channels, timestamps, and linked files can matter as much as the message text.

• Fragmentation: a single point can be spread across many short messages and several participants.

A defensible chat eDiscovery workflow preserves messages with their metadata, groups conversations for review, and keeps every message linked to its source so findings stay verifiable. Because the format is so different from email, many teams use analytics and AI to summarize long threads, extract key facts, and surface the messages most likely to be relevant.

For a practical walkthrough of handling messaging data, see How to Include AI Chat History in eDiscovery.

Claira is an AI eDiscovery platform that applies summarization and fact extraction to chat and document review, helping teams turn fragmented conversations into reviewable evidence. See it in action.